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README.md
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| 1 |
+
---
|
| 2 |
+
library_name: sklearn
|
| 3 |
+
tags:
|
| 4 |
+
- sklearn
|
| 5 |
+
- tabular-classification
|
| 6 |
+
widget:
|
| 7 |
+
structuredData:
|
| 8 |
+
x0:
|
| 9 |
+
- 0.0
|
| 10 |
+
- 0.0
|
| 11 |
+
- 0.0
|
| 12 |
+
x1:
|
| 13 |
+
- 0.0
|
| 14 |
+
- 0.0
|
| 15 |
+
- 0.0
|
| 16 |
+
x10:
|
| 17 |
+
- 13.0
|
| 18 |
+
- 0.0
|
| 19 |
+
- 3.0
|
| 20 |
+
x11:
|
| 21 |
+
- 15.0
|
| 22 |
+
- 11.0
|
| 23 |
+
- 16.0
|
| 24 |
+
x12:
|
| 25 |
+
- 10.0
|
| 26 |
+
- 16.0
|
| 27 |
+
- 15.0
|
| 28 |
+
x13:
|
| 29 |
+
- 15.0
|
| 30 |
+
- 9.0
|
| 31 |
+
- 14.0
|
| 32 |
+
x14:
|
| 33 |
+
- 5.0
|
| 34 |
+
- 0.0
|
| 35 |
+
- 0.0
|
| 36 |
+
x15:
|
| 37 |
+
- 0.0
|
| 38 |
+
- 0.0
|
| 39 |
+
- 0.0
|
| 40 |
+
x16:
|
| 41 |
+
- 0.0
|
| 42 |
+
- 0.0
|
| 43 |
+
- 0.0
|
| 44 |
+
x17:
|
| 45 |
+
- 3.0
|
| 46 |
+
- 0.0
|
| 47 |
+
- 0.0
|
| 48 |
+
x18:
|
| 49 |
+
- 15.0
|
| 50 |
+
- 3.0
|
| 51 |
+
- 8.0
|
| 52 |
+
x19:
|
| 53 |
+
- 2.0
|
| 54 |
+
- 15.0
|
| 55 |
+
- 13.0
|
| 56 |
+
x2:
|
| 57 |
+
- 5.0
|
| 58 |
+
- 0.0
|
| 59 |
+
- 0.0
|
| 60 |
+
x20:
|
| 61 |
+
- 0.0
|
| 62 |
+
- 16.0
|
| 63 |
+
- 8.0
|
| 64 |
+
x21:
|
| 65 |
+
- 11.0
|
| 66 |
+
- 6.0
|
| 67 |
+
- 16.0
|
| 68 |
+
x22:
|
| 69 |
+
- 8.0
|
| 70 |
+
- 0.0
|
| 71 |
+
- 0.0
|
| 72 |
+
x23:
|
| 73 |
+
- 0.0
|
| 74 |
+
- 0.0
|
| 75 |
+
- 0.0
|
| 76 |
+
x24:
|
| 77 |
+
- 0.0
|
| 78 |
+
- 0.0
|
| 79 |
+
- 0.0
|
| 80 |
+
x25:
|
| 81 |
+
- 4.0
|
| 82 |
+
- 7.0
|
| 83 |
+
- 0.0
|
| 84 |
+
x26:
|
| 85 |
+
- 12.0
|
| 86 |
+
- 15.0
|
| 87 |
+
- 1.0
|
| 88 |
+
x27:
|
| 89 |
+
- 0.0
|
| 90 |
+
- 16.0
|
| 91 |
+
- 6.0
|
| 92 |
+
x28:
|
| 93 |
+
- 0.0
|
| 94 |
+
- 16.0
|
| 95 |
+
- 15.0
|
| 96 |
+
x29:
|
| 97 |
+
- 8.0
|
| 98 |
+
- 2.0
|
| 99 |
+
- 11.0
|
| 100 |
+
x3:
|
| 101 |
+
- 13.0
|
| 102 |
+
- 12.0
|
| 103 |
+
- 4.0
|
| 104 |
+
x30:
|
| 105 |
+
- 8.0
|
| 106 |
+
- 0.0
|
| 107 |
+
- 0.0
|
| 108 |
+
x31:
|
| 109 |
+
- 0.0
|
| 110 |
+
- 0.0
|
| 111 |
+
- 0.0
|
| 112 |
+
x32:
|
| 113 |
+
- 0.0
|
| 114 |
+
- 0.0
|
| 115 |
+
- 0.0
|
| 116 |
+
x33:
|
| 117 |
+
- 5.0
|
| 118 |
+
- 0.0
|
| 119 |
+
- 1.0
|
| 120 |
+
x34:
|
| 121 |
+
- 8.0
|
| 122 |
+
- 1.0
|
| 123 |
+
- 8.0
|
| 124 |
+
x35:
|
| 125 |
+
- 0.0
|
| 126 |
+
- 16.0
|
| 127 |
+
- 13.0
|
| 128 |
+
x36:
|
| 129 |
+
- 0.0
|
| 130 |
+
- 16.0
|
| 131 |
+
- 15.0
|
| 132 |
+
x37:
|
| 133 |
+
- 9.0
|
| 134 |
+
- 3.0
|
| 135 |
+
- 1.0
|
| 136 |
+
x38:
|
| 137 |
+
- 8.0
|
| 138 |
+
- 0.0
|
| 139 |
+
- 0.0
|
| 140 |
+
x39:
|
| 141 |
+
- 0.0
|
| 142 |
+
- 0.0
|
| 143 |
+
- 0.0
|
| 144 |
+
x4:
|
| 145 |
+
- 9.0
|
| 146 |
+
- 13.0
|
| 147 |
+
- 15.0
|
| 148 |
+
x40:
|
| 149 |
+
- 0.0
|
| 150 |
+
- 0.0
|
| 151 |
+
- 0.0
|
| 152 |
+
x41:
|
| 153 |
+
- 4.0
|
| 154 |
+
- 0.0
|
| 155 |
+
- 9.0
|
| 156 |
+
x42:
|
| 157 |
+
- 11.0
|
| 158 |
+
- 1.0
|
| 159 |
+
- 16.0
|
| 160 |
+
x43:
|
| 161 |
+
- 0.0
|
| 162 |
+
- 16.0
|
| 163 |
+
- 16.0
|
| 164 |
+
x44:
|
| 165 |
+
- 1.0
|
| 166 |
+
- 16.0
|
| 167 |
+
- 5.0
|
| 168 |
+
x45:
|
| 169 |
+
- 12.0
|
| 170 |
+
- 6.0
|
| 171 |
+
- 0.0
|
| 172 |
+
x46:
|
| 173 |
+
- 7.0
|
| 174 |
+
- 0.0
|
| 175 |
+
- 0.0
|
| 176 |
+
x47:
|
| 177 |
+
- 0.0
|
| 178 |
+
- 0.0
|
| 179 |
+
- 0.0
|
| 180 |
+
x48:
|
| 181 |
+
- 0.0
|
| 182 |
+
- 0.0
|
| 183 |
+
- 0.0
|
| 184 |
+
x49:
|
| 185 |
+
- 2.0
|
| 186 |
+
- 0.0
|
| 187 |
+
- 3.0
|
| 188 |
+
x5:
|
| 189 |
+
- 1.0
|
| 190 |
+
- 5.0
|
| 191 |
+
- 12.0
|
| 192 |
+
x50:
|
| 193 |
+
- 14.0
|
| 194 |
+
- 1.0
|
| 195 |
+
- 13.0
|
| 196 |
+
x51:
|
| 197 |
+
- 5.0
|
| 198 |
+
- 16.0
|
| 199 |
+
- 16.0
|
| 200 |
+
x52:
|
| 201 |
+
- 10.0
|
| 202 |
+
- 16.0
|
| 203 |
+
- 16.0
|
| 204 |
+
x53:
|
| 205 |
+
- 12.0
|
| 206 |
+
- 6.0
|
| 207 |
+
- 11.0
|
| 208 |
+
x54:
|
| 209 |
+
- 0.0
|
| 210 |
+
- 0.0
|
| 211 |
+
- 5.0
|
| 212 |
+
x55:
|
| 213 |
+
- 0.0
|
| 214 |
+
- 0.0
|
| 215 |
+
- 0.0
|
| 216 |
+
x56:
|
| 217 |
+
- 0.0
|
| 218 |
+
- 0.0
|
| 219 |
+
- 0.0
|
| 220 |
+
x57:
|
| 221 |
+
- 0.0
|
| 222 |
+
- 0.0
|
| 223 |
+
- 0.0
|
| 224 |
+
x58:
|
| 225 |
+
- 6.0
|
| 226 |
+
- 0.0
|
| 227 |
+
- 0.0
|
| 228 |
+
x59:
|
| 229 |
+
- 13.0
|
| 230 |
+
- 11.0
|
| 231 |
+
- 3.0
|
| 232 |
+
x6:
|
| 233 |
+
- 0.0
|
| 234 |
+
- 0.0
|
| 235 |
+
- 0.0
|
| 236 |
+
x60:
|
| 237 |
+
- 10.0
|
| 238 |
+
- 16.0
|
| 239 |
+
- 11.0
|
| 240 |
+
x61:
|
| 241 |
+
- 0.0
|
| 242 |
+
- 10.0
|
| 243 |
+
- 16.0
|
| 244 |
+
x62:
|
| 245 |
+
- 0.0
|
| 246 |
+
- 0.0
|
| 247 |
+
- 9.0
|
| 248 |
+
x63:
|
| 249 |
+
- 0.0
|
| 250 |
+
- 0.0
|
| 251 |
+
- 0.0
|
| 252 |
+
x7:
|
| 253 |
+
- 0.0
|
| 254 |
+
- 0.0
|
| 255 |
+
- 0.0
|
| 256 |
+
x8:
|
| 257 |
+
- 0.0
|
| 258 |
+
- 0.0
|
| 259 |
+
- 0.0
|
| 260 |
+
x9:
|
| 261 |
+
- 0.0
|
| 262 |
+
- 0.0
|
| 263 |
+
- 0.0
|
| 264 |
+
---
|
| 265 |
+
|
| 266 |
+
# Model description
|
| 267 |
+
|
| 268 |
+
[More Information Needed]
|
| 269 |
+
|
| 270 |
+
## Intended uses & limitations
|
| 271 |
+
|
| 272 |
+
[More Information Needed]
|
| 273 |
+
|
| 274 |
+
## Training Procedure
|
| 275 |
+
|
| 276 |
+
### Hyperparameters
|
| 277 |
+
|
| 278 |
+
The model is trained with below hyperparameters.
|
| 279 |
+
|
| 280 |
+
<details>
|
| 281 |
+
<summary> Click to expand </summary>
|
| 282 |
+
|
| 283 |
+
| Hyperparameter | Value |
|
| 284 |
+
|---------------------|----------|
|
| 285 |
+
| activation | relu |
|
| 286 |
+
| alpha | 0.0001 |
|
| 287 |
+
| batch_size | auto |
|
| 288 |
+
| beta_1 | 0.9 |
|
| 289 |
+
| beta_2 | 0.999 |
|
| 290 |
+
| early_stopping | False |
|
| 291 |
+
| epsilon | 1e-08 |
|
| 292 |
+
| hidden_layer_sizes | (100,) |
|
| 293 |
+
| learning_rate | constant |
|
| 294 |
+
| learning_rate_init | 0.001 |
|
| 295 |
+
| max_fun | 15000 |
|
| 296 |
+
| max_iter | 200 |
|
| 297 |
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| momentum | 0.9 |
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| n_iter_no_change | 10 |
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| nesterovs_momentum | True |
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| power_t | 0.5 |
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| 301 |
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| random_state | |
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| shuffle | True |
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| solver | adam |
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| tol | 0.0001 |
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| 305 |
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| validation_fraction | 0.1 |
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| verbose | False |
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| 307 |
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| warm_start | False |
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| 308 |
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</details>
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+
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### Model Plot
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The model plot is below.
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<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>MLPClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label sk-toggleable__label-arrow">MLPClassifier</label><div class="sk-toggleable__content"><pre>MLPClassifier()</pre></div></div></div></div></div>
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# How to Get Started with the Model
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| 318 |
+
|
| 319 |
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Use the code below to get started with the model.
|
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+
|
| 321 |
+
<details>
|
| 322 |
+
<summary> Click to expand </summary>
|
| 323 |
+
|
| 324 |
+
```python
|
| 325 |
+
[More Information Needed]
|
| 326 |
+
```
|
| 327 |
+
|
| 328 |
+
</details>
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
|
| 332 |
+
|
| 333 |
+
# Model Card Authors
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| 334 |
+
|
| 335 |
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This model card is written by following authors:
|
| 336 |
+
|
| 337 |
+
[More Information Needed]
|
| 338 |
+
|
| 339 |
+
# Model Card Contact
|
| 340 |
+
|
| 341 |
+
You can contact the model card authors through following channels:
|
| 342 |
+
[More Information Needed]
|
| 343 |
+
|
| 344 |
+
# Citation
|
| 345 |
+
|
| 346 |
+
Below you can find information related to citation.
|
| 347 |
+
|
| 348 |
+
**BibTeX:**
|
| 349 |
+
```
|
| 350 |
+
[More Information Needed]
|
| 351 |
+
```
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